François Gauthier

According to our database, François Gauthier authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Personalized Graph Federated Learning With Differential Privacy.

François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh

IEEE Trans. Signal Inf. Process. over Networks, 2023

Asynchronous Online Federated Learning With Reduced Communication Requirements.

François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh

IEEE Internet Things J., 2023

Networked Personalized Federated Learning Using Reinforcement Learning.

François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner

Proceedings of the IEEE International Conference on Communications, 2023

2022

Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions.

Vinay Chakravarthi Gogineni, Stefan Werner, François Gauthier, Yih-Fang Huang, Anthony Kuh

IEEE Internet Things Mag., 2022

Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression.

François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh

Proceedings of the IEEE International Conference on Communications, 2022

Clustered Graph Federated Personalized Learning.

François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2020

Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions.

François Gauthier, Cristiano Gratton, Naveen K. D. Venkategowda, Stefan Werner

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020